Valtteri Bottas

Age: 34

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Season Age Series Starts Wins ASP AFP eARP ASP-FP eGR-LR PFAE Avg. PFAE Laps Led Laps Run %LL %LC
2013 23 F1 19 0 14.89 14.42 14.46 0.47 -0.02 -4.90 -0.258 0 1070 0.00 94.61
2014 24 F1 19 0 6.21 6.11 6.10 0.11 0.04 43.08 2.267 4 1111 0.36 97.97
2015 25 F1 18 0 6.39 7.44 6.48 -1.06 0.01 21.44 1.191 1 1037 0.10 95.05
2016 26 F1 21 0 8.29 9.62 8.54 -1.33 -0.06 2.96 0.141 0 1186 0.00 93.53
2017 27 F1 20 3 3.35 3.65 3.23 -0.30 0.16 34.35 1.718 187 1168 16.01 97.66
2018 28 F1 21 0 4.05 5.10 4.03 -1.05 0.01 12.56 0.598 84 1202 6.99 95.09
2019 29 F1 21 4 3.71 4.10 3.81 -0.38 0.18 28.08 1.337 185 1233 15.00 97.70
2020 30 F1 17 2 2.29 5.18 3.21 -2.88 -0.08 -11.34 -0.667 188 994 18.91 95.85
2021 31 F1 22 1 5.59 7.41 5.50 -1.82 -0.07 -7.96 -0.362 79 1134 6.97 87.43
2022 32 F1 22 0 11.41 12.09 11.23 -0.68 -0.12 -18.06 -0.821 0 1136 0.00 87.65
2023 33 F1 20 0 14.00 13.55 12.72 0.45 -0.10 -14.51 -0.725 0 1122 0.00 92.19
2024 34 F1 4 0 14.50 16.00 15.23 -1.50 -0.33 -10.21 -2.551 0 214 0.00 98.17
Owner Car Season Series Starts Wins Average Start Average Finish Avg. PFAE
Williams F1 Team 17 2013 F1 19 0 14.89 14.42 -0.258
Williams Martini Racing 77 2014 F1 19 0 6.21 6.11 2.267
Williams Martini Racing 77 2015 F1 18 0 6.39 7.44 1.191
Williams Martini Racing 77 2016 F1 21 0 8.29 9.62 0.141
Mercedes AMG Petronas Motorsport 77 2017 F1 20 3 3.35 3.65 1.718
Mercedes AMG Petronas Motorsport 77 2018 F1 21 0 4.05 5.10 0.598
Mercedes AMG Petronas Motorsport 77 2019 F1 21 4 3.71 4.10 1.337
Mercedes AMG Petronas F1 Team 77 2020 F1 17 2 2.29 5.18 -0.667
Mercedes AMG Petronas F1 Team 77 2021 F1 22 1 5.59 7.41 -0.362
Alfa Romeo Racing ORLEN 77 2022 F1 22 0 11.41 12.09 -0.821
Alfa Romeo F1 Team Stake 77 2023 F1 20 0 14.00 13.55 -0.725
Stake F1 Team Kick Sauber 77 2024 F1 4 0 14.50 16.00 -2.551

If you see any numbers that are odd, they probably are, especially if it appears a series if missing a lot of laps led or a driver has the same start as they do finish (in aggregate). We have to do a bit of data cleanup to make things useful, and as a result some missing data is covered up with defaults that hopefully won't pervert the results too much.